1038 search results - page 149 / 208 » A Genetic Algorithm for Clustering on Very Large Data Sets |
KDD
2012
ACM
11 years 10 months ago
2012
ACM
Most time series data mining algorithms use similarity search as a core subroutine, and thus the time taken for similarity search is the bottleneck for virtually all time series d...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
We present an algorithm, Hierarchical ISOmetric SelfOrganizing Map (H-ISOSOM), for a concise, organized manifold representation of complex, non-linear, large scale, high-dimension...
CIKM
2010
Springer
13 years 6 months ago
2010
Springer
Non-negative tensor factorization (NTF) is a relatively new technique that has been successfully used to extract significant characteristics from polyadic data, such as data in s...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
In the realm of data mining, several key issues exists in the traditional classification algorithms, such as low readability, large rule number, and low accuracy with information ...
FLAIRS
2007
13 years 10 months ago
2007
A low-effort data mining approach to labeling network event records in a WLAN is proposed. The problem being addressed is often observed in an AI and data mining strategy to netwo...